Tokyo
Business Area
Data
Ref #
Description & Requirements
Bloomberg runs on data. Our products are fueled by powerful information.
We combine data and context to paint the whole picture for our clients, around the clock – from around the world.
In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately.We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing platinum customer support to our clients.
The Data Management Lab (DML) sits within the Data organization, supporting Data's pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data.
DML empowers our data professionals to make their products "ready-to-use" by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness.
As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions.
You will be an integral member of Asia-Pacific Quality Methods & Insights team under DML that includes Data Quality, Business Intelligence and Process Engineering, serving as a centre of excellence for the rest of the teams in the Data organisation.
A key aspect of this role involves partnering with Data Product and Engineering teams to conduct analysis of operational and product data that is characterized by high volume and variety, generated by a variety of sources in a complex production environment.
Specifically, you will leverage your analytical expertise to support the development and adoption of methods that will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization.
You will also contribute to the ongoing refinement of data management best practices.As a valued member of our team, we'll trust you to:
Lead global initiatives within the realms of data quality, operational efficiency and data management.
Design and run analyses to uncover root causes for data quality issues and make recommendations using techniques in the areas of Bayesian analysis, machine learning, and causal inference.
Formulate and execute optimization analysis to balance trade-offs such as performance, quality and resource usage across data pipelines.Bring exposure to Operations Research methods such as Linear programming, Queuing theory, and Monte Carlo Simulations.
Bring a basic understanding of data engineering workflows including how data pipelines are orchestrated and various components within the ETL framework.
Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovationCollaborate with data stakeholders and engineering partners to translate high-impact questions into scalable data science solutions
Build statistical and analytical capabilities within the team and mentor others.
You'll need to have a strong combination of the following:
Bachelors degree(or higher) in Data Science, Economics, Statistics or a related quantitative field
3-5 years' experience designing research studies using predictive modelling, causal analysis and/or Operations Research methods.
1-2 years' experience designing data engineering pipelines.
Strong coding skills in Python (e.g. PySpark, Pandas, NumPy, Pymc, etc.) and experience with SQL
Familiarity with modern data tech stack tools such as dbt, Iceberg, Trino, Airflow, Superset, etc.
Familiarity with version control systems (e.g., Git) and a collaborative development workflow environment (e.g., GitHub, GitLab)
Experience working in a data quality, data governance, or data management environment is a major plus (knowledge of DAMA, DCAM, etc. is welcome)
Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
Knowledge of financial markets and Bloomberg products is a plus
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
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